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Quantifying Dynamic Tilting in Halide Perovskites: Chemical Trends and Local Correlations

Julia Wiktor, Erik Fransson, Dominik J. Kubicki, Paul Erhart

2023Chemistry of Materials40 citationsDOIOpen Access PDF

Abstract

High Resolution Image Download MS PowerPoint Slide Halide perovskites have emerged as one of the most interesting materials for optoelectronic applications due to their favorable properties, such as defect tolerance and long charge carrier lifetimes, which are attributed to their dynamic softness. However, this softness has led to apparent disagreements between the local instantaneous and global average structures of these materials. In this study, we rationalize this situation through an assessment of the local tilt angles of octahedra in the perovskite structure using large-scale molecular dynamics simulations based on machine-learned potentials trained using density functional theory calculations. We compare structural properties given by different density functionals [local density approximation, PBE, PBE + D3, PBEsol, strongly constrained and appropriately normed (SCAN), SCAN + rVV10, and van der Waals density functional with consistent exchange] and establish trends across a family of CsMX 3 perovskites with M = Sn or Pb and X = Cl, Br or I. Notably, we demonstrate strong short-range ordering in the cubic phase of halide perovskites. This ordering is reminiscent of the tetragonal phase and provides the bridge between the disordered local structure and the global cubic arrangement. Our results provide a deeper understanding of the structural properties of halide perovskites and their local distortions, which is crucial for further understanding their optoelectronic properties.

Topics & Concepts

Perovskite (structure)HalideTetragonal crystal systemDensity functional theoryvan der Waals forceChemical physicsPhase (matter)Materials scienceOctahedronMolecular dynamicsLocal-density approximationCondensed matter physicsChemistryCrystallographyComputational chemistryCrystal structureMoleculePhysicsInorganic chemistryOrganic chemistryPerovskite Materials and ApplicationsMachine Learning in Materials ScienceSolid-state spectroscopy and crystallography